Classification of EEG graphoelements with supervised and unsupervised learning algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F14%3A00222998" target="_blank" >RIV/68407700:21460/14:00222998 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S1388245713012789" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1388245713012789</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.clinph.2013.12.042" target="_blank" >10.1016/j.clinph.2013.12.042</a>
Alternative languages
Result language
angličtina
Original language name
Classification of EEG graphoelements with supervised and unsupervised learning algorithms
Original language description
The electroencephalogram (EEG) provides markers of brain disturbances in the field of epilepsy. In short duration EEG data recordings, the epileptic graphoelements may not manifest. The visual analysis of lengthy signals is a tedious task. It is necessary to track the EEG activity on the computer screen and to detect the epileptiform graphoelements and the other pathological activity. The automation of the process is needed. We will compare the EEG wave classification both by supervised and unsupervisedlearning algorithms. The feasibility to detect the changes in the microstructure of epileptic activity will be verified. The procedure is based on multichannel adaptive segmentation, feature extraction and classification of graphoelements. To take intoaccount the non-stationary behavior of the signal, the features were extracted from segments detected by adaptive segmentation. The features included amplitude variance, parameters describing duration, number of segments, power in the fre
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů